Aleksandr G.

Backend Engineer

23 yrs 10 mos experience
Highly Stable

Key Highlights

  • Expert in algorithmic trading and quantitative finance.
  • Proven track record in backend development and microservices.
  • Strong focus on AI-enhanced investment strategies.
Stackforce AI infers this person is a Fintech expert specializing in backend development and quantitative finance.

Contact

Skills

Core Skills

Backend DevelopmentMicroservicesGo DevelopmentData AnalysisStatistical AnalysisData ScienceResearchMachine Learning

Other Skills

Amazon Web Services (AWS)Analytical SkillsAnalyticsApache KafkaBusiness ResearchChatGPTClickHouseCommunicationComputer ProgrammingConfluenceContinuous Integration and Continuous Delivery (CI/CD)Data MonitoringData ResearchData VisualizationDatabases

About

πŸš€ Evolved from distributed systems architect to quantitative finance specialist, combining technical expertise with algorithmic trading strategies. πŸ’» Technical Foundation: - Go-based microservices for high-frequency trading systems - Real-time data processing (Kafka, NATS) for market analysis - Scalable databases (PostgreSQL, ClickHouse) for financial data - Performance optimization for latency-critical trading applications πŸ“Š Current Focus - AI-Powered DCA (Dollar Cost Averaging): - Developing algorithmic frameworks for crypto investment strategies - 15+ technical indicators integration for optimal market timing - Systematic approach to digital asset portfolio management - Weekly market analysis combining technical and quantitative methods πŸ”Ή Unique Value: Where Software Engineering Meets Quantitative Finance πŸ”Ή Specialization: AI-enhanced investment automation and risk management πŸ”Ή Mission: Making sophisticated investment strategies accessible through technology πŸ’‘ Sharing insights on systematic investing, crypto DCA strategies, and fintech innovation. Available for fintech consulting and algorithmic trading system development. #FinTech #AlgorithmicTrading #DCA #CryptocurrencyInvesting #BackendDevelopment #AI #QuantitativeFinance #GoLang

Experience

23 yrs 10 mos
Total Experience
3 yrs 9 mos
Average Tenure
1 yr 3 mos
Current Experience

Nda

Back End Developer

Mar 2025 – Present Β· 1 yr 3 mos Β· Remote

TarantoolLuagRPCClickHouseBackend DevelopmentMicroservices

International retail company

Back End Developer

Oct 2023 – Mar 2025 Β· 1 yr 5 mos Β· Remote

  • Lead Role in Microservices Transition: Led the design and implementation of the transition from a monolithic to a microservices architecture, which improved system scalability and simplified maintenance. Introduced new tools and methodologies to enhance efficiency and team coordination.
  • High-Value Goods Service: Developed and maintained a service for high-value goods, ensuring operational stability and implementing new features. As a result, the service’s uptime improved, and several key features were added, enhancing the user experience.
  • Camera Service Management: Currently responsible for the development and maintenance of a camera service, including monitoring and performance improvement.
  • High-Load Video Upload System: Developed a high-load system for uploading surveillance videos to storage upon user requests, optimizing the handling and storage of large volumes of video data.
  • Bug Fixing and Feature Development: Regularly perform tasks for bug fixing and implementing new features according to management requests, continuously improving system functionality.
GrafanaGo (Programming Language)GitlabClickHouseRedisNats+6

App.loshadki

Golang Developer

Mar 2020 – Oct 2023 Β· 3 yrs 7 mos Β· United States Β· Remote

  • Developed Libraries for Meteorological Data Processing: Created libraries for parsing binary meteorological data files, used in a weather forecasting application for drone management. This solution optimized drone flights under various weather conditions.
  • Property Rental Web Application Development: Built a backend application for searching, comparing, and renting properties, ensuring user security and integrating a PostgreSQL database to store property data.
  • ChatGPT Integration: Developed libraries for ChatGPT integration, allowing for request processing and response handling. This improved user interaction within the application by automating responses to user inquiries.
  • Libraries for Notifications and User Data Calculations: Developed libraries to calculate user data and send notifications about insufficient funds or other important events, improving user engagement.
  • My experience in Go development encompasses diverse projects where I successfully applied the Go programming language to create high-performance and reliable solutions across various domains.
  • P2P Arbitrage Research: Conducted extensive research in P2P arbitrage markets and developed strategies to capitalize on arbitrage opportunities. Applied statistical analysis and optimization algorithms to increase profitability.
  • Cryptocurrency Exchange System Development: Created a system for a major cryptocurrency exchange to track user account limits in both cryptocurrency and fiat, enhancing transparency and user protection.
  • Telegram Bot Development: Designed and deployed Telegram bots for task automation and improved client interaction. These bots accelerated task execution and simplified processes for users.
DockerComputer ProgramminggRPCGinContinuous Integration and Continuous Delivery (CI/CD)Git+11

T plus

Lead Data Analyst

Apr 2018 – Feb 2020 Β· 1 yr 10 mos Β· On-site

  • Risk and Safety Analysis: Conducted analysis on workplace risks affecting injury rates, which helped reduce injuries among employees and the public by 50%.
  • Digitalization Requirements Development: Created technical requirements for digitalization in health and safety, enabling system implementation at power plants and heating pipelines.
SQLComputer ProgrammingStatistical AnalysisData VisualizationGitMicrosoft Office+4

State research center - medical biological agency

Head of Data Science (State Research Center - Medical Biological Agency)

Jun 2016 – Mar 2018 Β· 1 yr 9 mos Β· On-site

  • Methodological Development for Radiation Impact Assessment: Led the development of scientifically grounded methodological recommendations for calculating the impact of medical radiation on personnel and the population. These recommendations informed safety protocols and regulatory measures, contributing to enhanced public and occupational health standards.
  • Research on Non-Ionizing Electromagnetic Waves: Conducted in-depth research on the effects of non-ionizing electromagnetic waves on mental health, providing insights that influenced preventive measures and public health guidelines.
Computer ProgrammingStatistical AnalysisMicrosoft OfficeDatabasesData ScienceResearch

Rosatom global

Data Specialist

Jul 2011 – Jun 2016 Β· 4 yrs 11 mos Β· On-site

  • Machine Learning Models for Contamination Forecasting: Developed machine learning models to forecast contamination in case of radiation facility accidents, supporting project documentation for state environmental expertise.
  • Groundwater Monitoring System: Created a monitoring system to control groundwater levels to prevent flooding of radioactive waste storage facilities, enhancing site safety.
  • Computer Vision for PPE Monitoring: Developed technical requirements for a computer vision system to monitor the use of personal protective equipment, improving employee safety.
Business ResearchPython (Programming Language)Data ScienceData MonitoringResearch CollaborationMachine Learning

Marine biological institute

Data Science Researcher

Jun 2002 – Jul 2011 Β· 9 yrs 1 mo Β· On-site

  • Marine Mammal Research: Conducted research on the effects of diet, weather, and medications on marine mammal physiology and behavior using statistical methods, resulting in guidelines for care and treatment.
  • Commercial Fish Migration Models: Developed predictive models for fish migration based on solar activity, aiding in the assessment of fishing quotas.
Data ResearchCommunicationResearch

Education

Corporate Energy University

Economics and Management β€” Digital production technologies in the power industry

Jan 2019 – Jan 2020

Yandex, Online Education Development Fund

Machine learning and data analysis

Jan 2018 – Jan 2019

City Business School

Bachelor's degree β€” Management and economics of a modern enterprise

Jan 2017 – Jan 2018

GeekBrains

Master's degree β€” Artificial Intelligence

Jan 2021 – Jan 2023

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